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int | init_all (float *X, int *Y, float *Yr, const float *W, int nfeat, int nsamples, int maxq) |
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void | init_groups (vector< int > &groups_in) |
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int | init (float *X, int *Y, int nfeat, int nsamples, int maxq) |
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int | get_Tree (int *sampsize, int ntry, QRF_Tree &tree) |
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int | collect_Tree_oob_scores (float *x, int nfeat, QRF_ResTree &resTree, vector< int > &sample_ids) |
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void | complete_oob_cv () |
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void | score_tree_by_index (float *x, int nfeat, QRF_ResTree &tree, int id, float &score, int &majority, vector< int > &counts) |
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double | get_cross_validation_auc () |
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int | init_regression (float *X, float *Y, const float *W, int nfeat, int nsamples, int maxq) |
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int | get_regression_Tree (int *sampsize, int ntry, QRF_Tree &tree) |
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void | clear () |
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int | tree_mode |
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int | NSamples |
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int | NFeat |
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int | MaxQ |
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vector< short > | max_q |
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vector< char > | y |
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vector< int > | ids [2] |
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vector< vector< float > > | quant_values |
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vector< vector< short > > | q_data |
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vector< float > | yr |
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vector< vector< int > > | yr_multilabel |
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vector< float > | w |
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vector< double > | log_table |
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vector< OOB_Result > | cv |
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vector< char > | test_s |
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vector< int > | groups |
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int | n_groups |
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int | n_categ |
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int | min_split_node_size |
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float | min_split_spread |
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int | n_called |
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bool | take_all_samples |
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int | max_depth |
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The documentation for this class was generated from the following files:
- Internal/QRF/QRF/QRF.h
- Internal/QRF/QRF/QRF.cpp
